FS-IL

🔧 Dependencies and Installation

• Python >= 3.7 (Recommend to use Anaconda or Miniconda)
• PyTorch >= 1.3
• NVIDIA GPU + CUDA

1. Clone repo

   git clone https://github.com/moukamisama/FS-IL.git

2. Install dependent packages

   cd FS-IL
   pip install -r requirements.txt

3. Install wandb (optional)

Note that FS-IL is only tested in Ubuntu, and may be not suitable for Windows. You may try Windows WSL with CUDA supports :-) (It is now only available for insider build with Fast ring).

💻 Train and Incremental Procdure

• Training and incremental testing commands: Please see TrainTest.md for the basic usage.

Datasets

We evaluate our system in several datasets, including CUB-200-2011, CIFAR100, miniImageNet. Please download CUB-200-2011, CIFAR100 and miniImageNet.(Note: some datasets do not split the train set and test set in the original folder, the splited datasets can be download from this link according to the original provided train/test text file.)

Not finished yet !